19 May 2026 at 06:10:41

Long Trade on CHZ (BosPullback)

With 5599.81 CHZ at 0.0494$ per unit. Take profit: 0.05296 (7.23 %) & Stop Loss: 0.04796 (2.9 %)

Long BosPullback on CHZ (19 May 2026 at 06:10:41 to 08:00:00 - 1 hour )

With 5599.8096 CHZ at 0.04939$ per unit.

Position size of 276.5746 $
Take profit at 0.05296 (7.23 %) and Stop Loss at 0.04796 (2.9 %)

That's a 2.5 RR Trade
Duration: 1 hour

Results

Status:
loss
Trade Type:
buy
ML Trade Score: -100
ML Pullback Score: 0.07
Prediction Score:
Prediction 1 Probability
n/a
Prediction 2 Probability
n/a
Prediction 3 Probability
n/a
BTC Market Regime BTC Market Regime V2

ml_regime : bear_low_vol

rules_regime : bear_medium

rules_regime_5m : range_low

Score : 0

ml_regime : range_low

rules_regime : range_medium

rules_regime_5m : range_low

tf_aligned : 1

19/05 06:01

BTC Correlation Coin Market Regime

1H_regime : bull_high

15m_regime : bull_high

Contexte Multi-Timeframe (au signal)

TF Direction Phase Structure Strength Momentum Volatility Regime Tradability Évalué à
4h ↑ up transition bullish_transition moderate grind normal bull_high
83%
19/05 04:00
1h ↑ up transition bullish_transition moderate grind compression bull_high
77%
19/05 05:00
15m ↔ neutral range range moderate grind compression bull_high
71%
19/05 05:45
5m ↔ neutral range range strong fading compression range_medium
47%
19/05 06:00

Signal

BosPullback - BUY

Indicators:

  1. long_trend: 1
  2. confidence: 0.79
  3. reason: bos_pullback_long|score=2|shallow|bars_since_bos=5|retests=1|break_atr=0.42|prog=0.62|zone=tested
  4. stop_price: 0.04796138
  5. tp_price: 0.05296154
  6. atr:
  7. score: 0.79
  8. confidence_pre_ob: 0.79
Details
  1. 1H:
  2. 15m:
  3. 5m:
  4. btc_indicators
  5. ¸
  6. market_structures
  7. ¸
  8. market_structure_v2
  9. timeframe : 1h
  10. state : pullback_up
  11. confidence : 0.706
  12. trend_strength : 0.0786
  13. trend_persistence : 0.5
  14. high_delta_atr : 0.6882
  15. low_delta_atr : 1.9773
  16. current_swing_amp_atr : 2.0927
  17. current_swing_speed : 0.41854
  18. current_swing_efficiency : 0.301
  19. retracement_ratio : 1.4091
  20. extension_ratio : 0.6478
  21. compression_score : 0.8296
  22. swing_entropy : 1
  23. breakout_strength : -0.2076
  24. distance_to_last_high_atr : -0.8958
  25. distance_to_last_low_atr : 1.4748
  26. pivot_count : 27
  27. swing_count : 26
  28. market_structure_v2
  29. last_pivot_kind: high
  30. last_pivot_price:
    0.05021
  31. last_pivot_index:
    144
  32. ¸
  33. trend_analyzer_1h
  34. direction : up
  35. phase : transition
  36. structure : bullish_transition
  37. breakout_state : fresh_breakout
  38. quality : volatile
  39. strength : moderate
  40. exhaustion : medium
  41. momentum_type : grind
  42. volatility_regime : compression
  43. htf_context : unknown
  44. risk_state : approaching_resistance
  45. confidence : 0.5
  46. state : up_bullish_transition_grind
  47. trend_analyzer_1h
  48. scores_direction_score:
    0.7145
  49. scores_strength_score:
    0.472
  50. scores_quality_score:
    0.3243
  51. scores_cleanliness_score:
    0.2298
  52. scores_structural_quality:
    0.4017
  53. scores_pullback_score:
    1
  54. scores_exhaustion_score:
    0.4754
  55. scores_continuation_score:
    0.5182
  56. scores_structure_score:
    0.6788
  57. scores_volatility_expansion:
    0.1011
  58. scores_momentum_type_score:
    0.5471
  59. scores_risk_score:
    0.8995
  60. trend_analyzer_1h
  61. features_ema20_slope:
    0.0512
  62. features_ema50_slope:
    0.0557
  63. features_ema_alignment_score:
    1
  64. features_price_vs_ema20:
    0.6964
  65. features_price_vs_ema50:
    1.574
  66. features_recent_hh_hl_score:
    0.6
  67. features_recent_lh_ll_score:
    0.4
  68. features_last_bos_direction:
    1
  69. features_bars_since_last_bos:
    5
  70. features_candle_overlap_ratio:
    1
  71. features_wick_ratio:
    0.5405
  72. features_trend_efficiency:
    0.301
  73. features_impulse_strength:
    3.1639
  74. features_directional_candle_ratio:
    0.6
  75. features_pullback_depth_ratio:
    1.4091
  76. features_pullback_depth_atr:
    2.1973
  77. features_extension_from_mean:
    1.574
  78. features_impulse_decay_score:
    0.6761
  79. features_opposing_wick_pressure:
    0.2691
  80. features_volatility_percentile:
    0.06
  81. features_volatility_delta:
    -0.2023
  82. features_body_ratio:
    0.4226
  83. features_closes_position_ratio:
    0.5232
  84. features_slope_consistency:
    0.8994
  85. features_range_position:
    0.8995
  86. features_distance_to_recent_high:
    -0.9856
  87. features_distance_to_recent_low:
    8.8222
  88. features_had_recent_range:
    1
  89. features_had_recent_compression:
    0
  90. features_post_break_hl_count:
    0
  91. features_htf_trend_strength:
    
                                                                                                                                
  92. features_htf_compression_score:
    
                                                                                                                                
  93. features_htf_entropy_score:
    
                                                                                                                                
  94. features_htf_hh_hl_score:
    
                                                                                                                                
  95. features_htf_state_str:
    
                                                                                                                                
  96. ¸
  97. orderbook_context
  98. obi_top5 : -0.0564
  99. obi_top10 : -0.0071
  100. micro_price : 0.04939557
  101. spread_pct : 0.020247
  102. mid_price : 0.049395
  103. bid_wall_price : 0.049
  104. bid_wall_size : 3073030.4
  105. bid_wall_dist_atr :
  106. ask_wall_price : 0.0496
  107. ask_wall_size : 3828849.4
  108. ask_wall_dist_atr :
  109. snapshots_count : 5
  110. obi_top5_mean : -0.0526
  111. obi_top5_std : 0.0045
  112. pressure_side : neutral
  113. collection_mode : ws_rolling
  114. collection_ms : 7104
  115. aggregation_tick : 0.0001
  116. error :
  117. ¸
  118. strategy_details
  119. strategy : bos_pullback
  120. ms_state_1h : pullback_up
  121. strategy_details
  122. pivots_1h_0:
    Array
    (
        [time] => 2026-05-14 22:00:00
        [price] => 0.0438
        [kind] => low
        [label] => HL
    )
    
  123. pivots_1h_1:
    Array
    (
        [time] => 2026-05-15 00:00:00
        [price] => 0.04504
        [kind] => high
        [label] => LH
    )
    
  124. pivots_1h_2:
    Array
    (
        [time] => 2026-05-15 04:00:00
        [price] => 0.04312
        [kind] => low
        [label] => LL
    )
    
  125. pivots_1h_3:
    Array
    (
        [time] => 2026-05-15 07:00:00
        [price] => 0.0461
        [kind] => high
        [label] => HH
    )
    
  126. pivots_1h_4:
    Array
    (
        [time] => 2026-05-15 10:00:00
        [price] => 0.04256
        [kind] => low
        [label] => LL
    )
    
  127. pivots_1h_5:
    Array
    (
        [time] => 2026-05-15 22:00:00
        [price] => 0.04688
        [kind] => high
        [label] => HH
    )
    
  128. pivots_1h_6:
    Array
    (
        [time] => 2026-05-16 03:00:00
        [price] => 0.04268
        [kind] => low
        [label] => HL
    )
    
  129. pivots_1h_7:
    Array
    (
        [time] => 2026-05-16 17:00:00
        [price] => 0.04903
        [kind] => high
        [label] => HH
    )
    
  130. pivots_1h_8:
    Array
    (
        [time] => 2026-05-16 22:00:00
        [price] => 0.0467
        [kind] => low
        [label] => HL
    )
    
  131. pivots_1h_9:
    Array
    (
        [time] => 2026-05-17 04:00:00
        [price] => 0.04965
        [kind] => high
        [label] => HH
    )
    
  132. pivots_1h_10:
    Array
    (
        [time] => 2026-05-17 05:00:00
        [price] => 0.04764
        [kind] => low
        [label] => HL
    )
    
  133. pivots_1h_11:
    Array
    (
        [time] => 2026-05-17 09:00:00
        [price] => 0.04948
        [kind] => high
        [label] => LH
    )
    
  134. pivots_1h_12:
    Array
    (
        [time] => 2026-05-17 13:00:00
        [price] => 0.04712
        [kind] => low
        [label] => LL
    )
    
  135. pivots_1h_13:
    Array
    (
        [time] => 2026-05-17 17:00:00
        [price] => 0.04873
        [kind] => high
        [label] => LH
    )
    
  136. pivots_1h_14:
    Array
    (
        [time] => 2026-05-17 19:00:00
        [price] => 0.04502
        [kind] => low
        [label] => LL
    )
    
  137. pivots_1h_15:
    Array
    (
        [time] => 2026-05-18 05:00:00
        [price] => 0.04803
        [kind] => high
        [label] => LH
    )
    
  138. pivots_1h_16:
    Array
    (
        [time] => 2026-05-18 06:00:00
        [price] => 0.04623
        [kind] => low
        [label] => HL
    )
    
  139. pivots_1h_17:
    Array
    (
        [time] => 2026-05-18 16:00:00
        [price] => 0.04958
        [kind] => high
        [label] => HH
    )
    
  140. pivots_1h_18:
    Array
    (
        [time] => 2026-05-18 20:00:00
        [price] => 0.04804
        [kind] => low
        [label] => HL
    )
    
  141. pivots_1h_19:
    Array
    (
        [time] => 2026-05-19 01:00:00
        [price] => 0.05021
        [kind] => high
        [label] => HH
    )
    
  142. strategy_details
  143. pivots_15m_0:
    Array
    (
        [time] => 2026-05-18 05:15:00
        [price] => 0.04756
        [kind] => high
        [label] => 
    )
    
  144. pivots_15m_1:
    Array
    (
        [time] => 2026-05-18 06:00:00
        [price] => 0.04623
        [kind] => low
        [label] => 
    )
    
  145. pivots_15m_2:
    Array
    (
        [time] => 2026-05-18 08:15:00
        [price] => 0.04792
        [kind] => high
        [label] => 
    )
    
  146. pivots_15m_3:
    Array
    (
        [time] => 2026-05-18 09:00:00
        [price] => 0.04705
        [kind] => low
        [label] => HL
    )
    
  147. pivots_15m_4:
    Array
    (
        [time] => 2026-05-18 09:45:00
        [price] => 0.04812
        [kind] => high
        [label] => HH
    )
    
  148. pivots_15m_5:
    Array
    (
        [time] => 2026-05-18 11:15:00
        [price] => 0.04657
        [kind] => low
        [label] => LL
    )
    
  149. pivots_15m_6:
    Array
    (
        [time] => 2026-05-18 13:45:00
        [price] => 0.04945
        [kind] => high
        [label] => HH
    )
    
  150. pivots_15m_7:
    Array
    (
        [time] => 2026-05-18 14:15:00
        [price] => 0.04827
        [kind] => low
        [label] => HL
    )
    
  151. pivots_15m_8:
    Array
    (
        [time] => 2026-05-18 15:00:00
        [price] => 0.04938
        [kind] => high
        [label] => LH
    )
    
  152. pivots_15m_9:
    Array
    (
        [time] => 2026-05-18 15:15:00
        [price] => 0.0484
        [kind] => low
        [label] => HL
    )
    
  153. pivots_15m_10:
    Array
    (
        [time] => 2026-05-18 16:00:00
        [price] => 0.04958
        [kind] => high
        [label] => HH
    )
    
  154. pivots_15m_11:
    Array
    (
        [time] => 2026-05-18 20:15:00
        [price] => 0.04804
        [kind] => low
        [label] => LL
    )
    
  155. pivots_15m_12:
    Array
    (
        [time] => 2026-05-18 20:45:00
        [price] => 0.0495
        [kind] => high
        [label] => LH
    )
    
  156. pivots_15m_13:
    Array
    (
        [time] => 2026-05-18 22:15:00
        [price] => 0.04992
        [kind] => high
        [label] => HH
    )
    
  157. pivots_15m_14:
    Array
    (
        [time] => 2026-05-18 22:45:00
        [price] => 0.04843
        [kind] => low
        [label] => HL
    )
    
  158. pivots_15m_15:
    Array
    (
        [time] => 2026-05-18 23:45:00
        [price] => 0.04977
        [kind] => high
        [label] => LH
    )
    
  159. pivots_15m_16:
    Array
    (
        [time] => 2026-05-19 00:30:00
        [price] => 0.04876
        [kind] => low
        [label] => HL
    )
    
  160. pivots_15m_17:
    Array
    (
        [time] => 2026-05-19 01:45:00
        [price] => 0.05021
        [kind] => high
        [label] => HH
    )
    
  161. pivots_15m_18:
    Array
    (
        [time] => 2026-05-19 04:15:00
        [price] => 0.04833
        [kind] => low
        [label] => LL
    )
    
  162. bos_level_long : 0.04958
  163. bos_level_short : 0
  164. strategy_details
  165. levels_hl_price:
    0.04804
  166. levels_hl_timestamp: 2026-05-18 20:00:00
  167. levels_hh_price:
    0.05021
  168. levels_lh_price:
    0.05021
  169. levels_lh_timestamp: 2026-05-19 01:00:00
  170. levels_ll_price:
    0.04804
  171. strategy_details
  172. demand_zone_top:
    0.04803
  173. demand_zone_bottom:
    0.04623
  174. demand_zone_mid:
    0.04713
  175. demand_zone_freshness: tested
  176. demand_zone_strength:
    0.656
  177. supply_zone :
  178. ¸
  179. regimes
  180. 1H : bull_high
  181. 15m : bull_high
  182. ¸

Market Structure

Market Structure Score: 0

Market Structure V2

1H ↑ pullback_up
Confidence 71%

Trend

Trend Strength
0.079
Persistence
0.500
High Δ ATR
0.688
Low Δ ATR
1.977

Current Swing

Amp ATR
2.093
Speed
0.419
Efficiency
0.301

Structure

Retracement
1.409
Extension
0.648
Compression
0.830
Entropy
1.000
Breakout Str.
-0.208
Dist High ATR
-0.896
Dist Low ATR
1.475
27 pivots · 26 swings · Last pivot: ↑ 0.0502 @ bar 144

Trend Analyzer 1H

1H ↑ up up_bullish_transition_grind
Confidence 50%

Context

phase transition
structure bullish_transition
breakout fresh_breakout
quality volatile
strength moderate
exhaustion medium
momentum grind
volatility compression
risk approaching_resistance
htf unknown
Scores
Direction Score 0.715
Strength Score 0.472
Quality Score 0.324
Cleanliness Score 0.230
Structural Quality 0.402
Pullback Score 1.000
Exhaustion Score 0.475
Continuation Score 0.518
Structure Score 0.679
Volatility Expansion 0.101
Momentum Type Score 0.547
Risk Score 0.900
Features
Ema20 Slope
0.051
Ema50 Slope
0.056
Ema Alignment Score
1.000
Price Vs Ema20
0.696
Price Vs Ema50
1.574
Recent Hh Hl Score
0.600
Recent Lh Ll Score
0.400
Last Bos Direction
1.000
Bars Since Last Bos
5.000
Candle Overlap Ratio
1.000
Wick Ratio
0.541
Trend Efficiency
0.301
Impulse Strength
3.164
Directional Candle Ratio
0.600
Pullback Depth Ratio
1.409
Pullback Depth Atr
2.197
Extension From Mean
1.574
Impulse Decay Score
0.676
Opposing Wick Pressure
0.269
Volatility Percentile
0.060
Volatility Delta
-0.202
Body Ratio
0.423
Closes Position Ratio
0.523
Slope Consistency
0.899
Range Position
0.900
Distance To Recent High
-0.986
Distance To Recent Low
8.822
Had Recent Range
1.000
Had Recent Compression
0.000
Post Break Hl Count
0.000

Orderbook Context

→ neutral ws_rolling 5 snapshots 7104ms Confidence avant OB : 79%79%

Order Book Imbalance

OBI Top 5 -0.056
avg -0.053 ± 0.005
OBI Top 10 -0.007

Microstructure

Mid Price
0.0494
Micro Price
0.0494
Spread
0.0202%

↑ Bid Wall (Support)

Price
0.0490
Size
3,073,030.40

↓ Ask Wall (Resistance)

Price
0.0496
Size
3,828,849.40

📌 Time Data

Start at Closed at Duration
19 May 2026
06:10:41
19 May 2026
08:00:00
1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.04939 0.04796 0.05296 2.5 0.02411
Details
Click the "Sign Up" button in the top right corner and follow the registration process.

Pour calculer le Risk-Reward Ratio (RRR) sur un trade short, on utilise la formule :

RRR = Distance jusqu'au Take Profit ÷ Distance jusqu'au Stop Loss

Détails du trade:

  • Entry 0.04939
  • Stop Loss: 0.04796
  • Take Profit: 0.05296

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.04796 - 0.04939 = -0.00143

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.04939 - 0.05296 = -0.00357

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.00357 / -0.00143 = 2.4965

📌 Position Size

Amount Margin Quantity Leverage
276.5746 100 5599.8096 2.77
Details

1. Déterminer le montant risqué sur ce trade

Risk Amount = Capital x Risk per trade

Paramètres:

  • Account Size 100
  • Risk per trade 8 %

Risk Amount = 100 x 0.08 = 8

Donc, tu es prêt à perdre 8$ maximum sur ce trade

2. Calcul Risk per Share / Nombre d'unité à acheter

Taille de position = Risk Amount / Distance Stop Loss

Taille de position USD = Taille de position x Entry Price

Paramètres:

  • Risk Amount 8
  • Distance Stop Loss -0.00143

Taille de position = 8 / -0.00143 = -5594.41

Taille de position USD = -5594.41 x 0.04939 = -276.31

Donc, tu peux acheter -5594.41 avec un stoploss a 0.04796

Avec un position size USD de -276.31$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -5594.41 x -0.00143 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -5594.41 x -0.00357 = 19.97

Si Take Profit atteint, tu gagneras 19.97$

Résumé

  • Taille de position -5594.41
  • Taille de position USD -276.31
  • Perte potentielle 8
  • Gain potentiel 19.97
  • Risk-Reward Ratio 2.4965

📌 Peformances

TP % Target TP $ Target
7.23 % 19.99 $
SL % Target SL $ Target
2.9 % 8.01 $
PNL PNL %
-8.01 $ -2.90
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-3.685 % 127.28 % 3

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.05296
            [entry_price] => 0.04939
            [stop_loss] => 0.047817
            [rr_ratio] => 2.27
            [sl_change_percentage] => 1.1
            [closed_at] => 2026-05-19 08:00:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.05296
            [entry_price] => 0.04939
            [stop_loss] => 0.047674
            [rr_ratio] => 2.08
            [sl_change_percentage] => 1.2
            [closed_at] => 2026-05-19 08:00:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.05296
            [entry_price] => 0.04939
            [stop_loss] => 0.047531
            [rr_ratio] => 1.92
            [sl_change_percentage] => 1.3
            [closed_at] => 2026-05-19 09:30:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.05296
            [entry_price] => 0.04939
            [stop_loss] => 0.047245
            [rr_ratio] => 1.66
            [sl_change_percentage] => 1.5
            [closed_at] => 2026-05-19 10:50:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00011
            [max_drawdown] => 0.00182
            [rr_ratio] => 0.06
            [high] => 0.04950000
            [low] => 0.04757000
            [mfe_pct] => 0.22
            [mae_pct] => 3.68
            [mfe_mae_ratio] => 0.06
            [candles_analyzed] => 24
            [start_at] => 2026-05-19T06:10:41-04:00
            [end_at] => 2026-05-19T08:10:41-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00011
            [max_drawdown] => 0.00255
            [rr_ratio] => 0.04
            [high] => 0.04950000
            [low] => 0.04684000
            [mfe_pct] => 0.22
            [mae_pct] => 5.16
            [mfe_mae_ratio] => 0.04
            [candles_analyzed] => 84
            [start_at] => 2026-05-19T06:10:41-04:00
            [end_at] => 2026-05-19T13:10:41-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.04975000
            [high_after] => 0.04950000
            [low_before] => 0.04833000
            [low_after] => 0.04704000
            [is_new_high] => 
            [is_new_low] => 
        )

)

V2 Shadow Analysis

Ce trade aurait-il passé les filtres v2 (quality rank + confidence + régime) ?

Quality Rank
#9 / n/a OK
seuil : top 15 · score du 19/05/2026 06:00
Signal Confidence
79 % OK
seuil : ≥ 40%
Regime Score
0 BLOCKED
seuil : score ≥ 1
Décision V2
WOULD SKIP
rank + confidence + regime